Add to ORKGAbstract. We give a compression scheme for any maximum class of VC dimension d that compresses any sample consistent with a concept in the class to at most d unlabeled points from the domain of the sample.
It was proved by Ben-David and Litman that a concept space with VC dimension d has a sample compress...
Abstract. Sample compression schemes are schemes for “encoding ” a set of examples in a small subset...
In 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme ...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
Maximum concept classes of VC dimension d over n domain points have size � n � ≤d, and this is an up...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be \compressed &qu...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be “compressed ” t...
Within the framework of pac-learning, we explore the learnability of concepts from samples using the...
This paper presents a construction of a proper and stable labelled sample compression scheme of size...
We examine connections between combinatorial notions that arise in machine learning and topological ...
International audienceWe examine connections between combinatorial notions that arise in machine lea...
Abstract One of the earliest conjectures in computational learning theory—the Sample Compression con...
One of the earliest conjectures in computational learning theory-the Sample Compression conjecture-a...
International audienceWe examine connections between combinatorial notions that arise in machine lea...
Abstract. Within the framework of pac-learning, we explore the learnability of concepts from samples...
It was proved by Ben-David and Litman that a concept space with VC dimension d has a sample compress...
Abstract. Sample compression schemes are schemes for “encoding ” a set of examples in a small subset...
In 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme ...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
Maximum concept classes of VC dimension d over n domain points have size � n � ≤d, and this is an up...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be \compressed &qu...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be “compressed ” t...
Within the framework of pac-learning, we explore the learnability of concepts from samples using the...
This paper presents a construction of a proper and stable labelled sample compression scheme of size...
We examine connections between combinatorial notions that arise in machine learning and topological ...
International audienceWe examine connections between combinatorial notions that arise in machine lea...
Abstract One of the earliest conjectures in computational learning theory—the Sample Compression con...
One of the earliest conjectures in computational learning theory-the Sample Compression conjecture-a...
International audienceWe examine connections between combinatorial notions that arise in machine lea...
Abstract. Within the framework of pac-learning, we explore the learnability of concepts from samples...
It was proved by Ben-David and Litman that a concept space with VC dimension d has a sample compress...
Abstract. Sample compression schemes are schemes for “encoding ” a set of examples in a small subset...
In 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme ...